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Does Enforcement of Intellectual Property Rights Matter in China ...

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Table 5: The effect <strong>of</strong> IP rights enforcement on R&D <strong>in</strong>vestment<br />

The dependent variable is research and development expenditure <strong>of</strong> firm i <strong>in</strong> a given year divided by start-<strong>of</strong>-the-year total<br />

assets. For a description <strong>of</strong> all the other variables, see Appendix 3. All regressions <strong>in</strong>clude <strong>in</strong>dustry dummies as control<br />

variables. All <strong>in</strong>dependent variables are lagged by one year, except the fund<strong>in</strong>g source variables. The coefficients reported<br />

<strong>in</strong> Column (1), (2), (4) and (5) are from OLS regressions. Column (3) and (6) present results obta<strong>in</strong>ed from the IV<br />

regressions, with the <strong>in</strong>struments be<strong>in</strong>g the prov<strong>in</strong>cial number <strong>of</strong> Christian colleges by 1920 (Christian Colleges) and the<br />

dummy which equals 1 when a prov<strong>in</strong>ce had a British concession dur<strong>in</strong>g the late Q<strong>in</strong>g Dynasty (British Settlement). Other<br />

covariates <strong>in</strong> the first-stage regression are omitted for presentational convenience. The numbers <strong>in</strong> the parentheses are t-stat<br />

based on standard errors adjusted for heteroskedasticity and the potential cluster<strong>in</strong>g <strong>of</strong> the residual at the prov<strong>in</strong>cial level.<br />

***, **, * <strong>in</strong>dicate the coefficient is statistically different from zero at the 1-, 5-, and 10-percent level, respectively.<br />

Model OLS OLS<br />

Dependent variables<br />

(1) (2) (3) (4) (5) (6)<br />

2SLS: Second<br />

stage<br />

OLS OLS<br />

R&D<br />

Intensity<br />

R&D<br />

Intensity<br />

R&D Intensity<br />

R&D<br />

Intensity<br />

R&D<br />

Intensity<br />

2SLS: Second<br />

stage<br />

R&D Intensity<br />

New Debt/Assets 0.009 0.009 0.006 0.021 0.021 0.019<br />

(0.71) (0.72) (0.49) (1.65)* (1.66)* (1.23)<br />

New External Equity/Assets 0.009 0.009 0.006 0.021 0.021 0.019<br />

(0.71) (0.72) (0.50) (1.65)* (1.66)* (1.23)<br />

New Internal F<strong>in</strong>ance/Assets 0.046 0.046 0.059 0.075 0.074 0.067<br />

(2.62)*** (2.60)*** (2.71)*** (3.78)*** (3.71)*** (3.40)***<br />

IPP1×New Debt/Assets 0.087 0.088 0.103<br />

(5.02)*** (5.05)*** (5.40)***<br />

IPP1×New External Equity/Assets 0.028 0.029 0.034<br />

(0.99) (1.03) (1.17)<br />

IPP1×New Internal F<strong>in</strong>anc<strong>in</strong>g/Assets 0.183 0.181 0.141<br />

(5.38)*** (5.27)*** (3.19)***<br />

IPP1 0.022 -0.019 0.073<br />

(0.83) (-0.82) (1.01)<br />

IPP2×New Debt/Assets 0.005 0.005 0.006<br />

(5.71)*** (5.77)*** (4.23)***<br />

IPP2×New External Equity/Assets 0.001 0.001 0.002<br />

(0.73) (0.76) (0.70)<br />

IPP2×New Internal F<strong>in</strong>anc<strong>in</strong>g/Assets 0.007 0.007 0.009<br />

(3.16)*** (3.14)*** (3.02)***<br />

IPP2 -0.0001 -0.001 0.001<br />

(-0.16) (2.56)** (1.14)<br />

Corruption Control 0.001 0.002 0.001 -0.002<br />

(0.37) (1.31) (0.54) (-0.43)<br />

Bank<strong>in</strong>g Development 0.006 0.002 0.006 0.005<br />

(3.88)*** (1.07) (3.65)*** (3.32)***<br />

GDP Growth 0.369 0.237 0.267 0.451<br />

(1.74)* (1.24) (0.88) (1.17)<br />

University -0.0002 -0.0002 -0.0002 -0.001<br />

(-0.51) (-0.77) (-1.05) (-1.55)<br />

Metropolis -0.004 -0.001 -0.003 0.003<br />

(-2.45)** (-0.34) (-2.04)** (0.77)<br />

Constant 0.017 -0.025 -0.069 0.032 -0.022 -0.012<br />

(0.85) (-1.07) (-1.62) (4.36)*** (1.29) (-0.73)<br />

Observations 23,821 23,821 23,821 21,655 21,655 21,655<br />

R-squared 1.76% 1.89% 1.81% 1.69% 1.80% 1.70%<br />

First Stage<br />

Regression<br />

First Stage<br />

Regression<br />

Dependent variables IPP1 IPP2<br />

40

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